Hybrid Intelligence for Image Analysis and Understanding [Hardcover]

A synergy of techniques on hybrid intelligence for real-life image analysis

Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on the methods of computational intelligence, with an emphasis on hybrid intelligent methods applied to image analysis and understanding.

The book offers a diverse range of hybrid intelligence techniques under the umbrellas of image thresholding, image segmentation, image analysis and video analysis.

Key features:

• Provides in-depth analysis of hybrid intelligent paradigms.
• Divided into self-contained chapters.
• Provides ample case studies, illustrations and photographs of real-life examples to illustrate findings and applications of different hybrid intelligent paradigms.
• Offers new solutions to recent problems in computer science, specifically in the application of hybrid intelligent techniques for image analysis and understanding, using well-known contemporary algorithms.

The book is essential reading for lecturers, researchers and graduate students in electrical engineering and computer science.

Editor Biographies xvii

List of Contributors xxi

Foreword xxvii

Preface xxxi

About the Companion website xxxv

1 Multilevel Image Segmentation UsingModified Genetic Algorithm (MfGA)-based Fuzzy C-Means 1
Sourav De, Sunanda Das, Siddhartha Bhattacharyya, and Paramartha Dutta

1.1 Introduction 1

1.2 Fuzzy C-Means Algorithm 5

1.3lĂ3